code: def test_infer_dtypes():
      data1 = pd.DataFrame([[1, "a", False]], columns=[2.0, 3.0, 4.0])
      data2 = pd.DataFrame([[1, 3.0, "b"]], columns=[1, 2, 3])
  
      pd.testing.assert_series_equal(
          infer_dtypes(data1.dtypes, data2.dtypes, operator.add),
          (data1 + data2).dtypes,
      )
  
imports: import operator
  from collections import OrderedDict
  from numbers import Integral
  from typing import List, Dict
  import numpy
  import pandas
  import pytest
  from ...config import option_context
  from ...core import tile
  from ...utils import Timer
  from ..core import IndexValue
  from ..initializer import DataFrame, Series, Index
  from ..utils import decide_dataframe_chunk_sizes, decide_series_chunk_size, split_monotonic_index_min_max, build_split_idx_to_origin_idx, parse_index, filter_index_value, infer_dtypes, infer_index_value, validate_axis, fetch_corner_data, make_dtypes, build_concatenated_rows_frame, merge_index_value, auto_merge_chunks, whether_to_clean_up
label_desc: Use image node_id 8 for calling a global function with example usage: test_infer_dtypes() without return types